Property Price Profile Report

Dataset statistics

Number of variables	18
Number of observations	7799
Missing cells	36113
Missing cells (%)	25.7%
Duplicate rows	204
Duplicate rows (%)	2.6%
Total size in memory	5.1 MiB
Average record size in memory	684.4 B

Variable types

Categorical	6
Numeric	8
Text	4

Alerts

Dataset has 204 (2.6%) duplicate rows	Duplicates
`Baths` is highly overall correlated with `Bed Rooms` and 2 other fields	High correlation
`Bed Rooms` is highly overall correlated with `Baths` and 2 other fields	High correlation
`Building Type` is highly overall correlated with `Garage`	High correlation
`Exposure` is highly overall correlated with `Selling Status`	High correlation
`Floor #` is highly overall correlated with `Selling Status`	High correlation
`Garage` is highly overall correlated with `Building Type` and 3 other fields	High correlation
`Interior Size SqFt` is highly overall correlated with `Baths` and 3 other fields	High correlation
`Lot Size Ft` is highly overall correlated with `Garage`	High correlation
`Price $` is highly overall correlated with `Baths` and 2 other fields	High correlation
`Selling Status` is highly overall correlated with `Exposure` and 1 other fields	High correlation
`Type` is highly overall correlated with `Garage`	High correlation
`Selling Status` is highly imbalanced (72.3%)	Imbalance
`Lot Size Ft` has 4043 (51.8%) missing values	Missing
`Balcony Size SqFt` has 6648 (85.2%) missing values	Missing
`Garage` has 7687 (98.6%) missing values	Missing
`Floor #` has 7551 (96.8%) missing values	Missing
`Exposure` has 7612 (97.6%) missing values	Missing
`Community Name` has 367 (4.7%) missing values	Missing
`Ceiling avg` has 2187 (28.0%) missing values	Missing

Reproduction

Analysis started	2024-04-23 11:03:15.523948
Analysis finished	2024-04-23 11:03:36.894247
Duration	21.37 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

Type
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	539.1 KiB

Detached Two Story	3750
Suite	1655
Detached Bungalow	996
Two Story	992
Semi-Detached Two Story	144
Other values (4)	262

Length

Max length	23
Median length	22
Mean length	13.766124
Min length	4

Characters and Unicode

Total characters	107362
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Two Story
2nd row	Two Story
3rd row	Two Story
4th row	Two Story
5th row	Two Story

Common Values

Value	Count	Frequency (%)
Detached Two Story	3750	48.1%
Suite	1655	21.2%
Detached Bungalow	996	12.8%
Two Story	992	12.7%
Semi-Detached Two Story	144	1.8%
Bungalow	120	1.5%
Penthouse	109	1.4%
Semi-Detached Bungalow	19	0.2%
Loft	14	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
two	4886	27.8%
story	4886	27.8%
detached	4746	27.0%
suite	1655	9.4%
bungalow	1135	6.5%
semi-detached	163	0.9%
penthouse	109	0.6%
loft	14	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	11854	11.0%
t	11573	10.8%
o	11030	10.3%
	9795	9.1%
S	6704	6.2%
a	6044	5.6%
w	6021	5.6%
h	5018	4.7%
D	4909	4.6%
c	4909	4.6%
Other values (16)	29505	27.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	107362	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	11854	11.0%
t	11573	10.8%
o	11030	10.3%
	9795	9.1%
S	6704	6.2%
a	6044	5.6%
w	6021	5.6%
h	5018	4.7%
D	4909	4.6%
c	4909	4.6%
Other values (16)	29505	27.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	107362	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	11854	11.0%
t	11573	10.8%
o	11030	10.3%
	9795	9.1%
S	6704	6.2%
a	6044	5.6%
w	6021	5.6%
h	5018	4.7%
D	4909	4.6%
c	4909	4.6%
Other values (16)	29505	27.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	107362	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	11854	11.0%
t	11573	10.8%
o	11030	10.3%
	9795	9.1%
S	6704	6.2%
a	6044	5.6%
w	6021	5.6%
h	5018	4.7%
D	4909	4.6%
c	4909	4.6%
Other values (16)	29505	27.5%

Bed Rooms
Real number (ℝ)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.1040518

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	61.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	4
Maximum	8
Range	7
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.0143755
Coefficient of variation (CV)	0.32679078
Kurtosis	-0.45203595
Mean	3.1040518
Median Absolute Deviation (MAD)	1
Skewness	-0.24340296
Sum	24208.5
Variance	1.0289577
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
4	2800	35.9%
3	2231	28.6%
2	1300	16.7%
1	415	5.3%
1.5	317	4.1%
5	315	4.0%
2.5	297	3.8%
3.5	93	1.2%
6	22	0.3%
4.5	6	0.1%
Other values (2)	3	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	415	5.3%
1.5	317	4.1%
2	1300	16.7%
2.5	297	3.8%
3	2231	28.6%
3.5	93	1.2%
4	2800	35.9%
4.5	6	0.1%
5	315	4.0%
6	22	0.3%

Value	Count	Frequency (%)
8	2	< 0.1%
7	1	< 0.1%
6	22	0.3%
5	315	4.0%
4.5	6	0.1%
4	2800	35.9%
3.5	93	1.2%
3	2231	28.6%
2.5	297	3.8%
2	1300	16.7%

Baths
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.2915758

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	61.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.81494729
Coefficient of variation (CV)	0.35562746
Kurtosis	1.169167
Mean	2.2915758
Median Absolute Deviation (MAD)	0
Skewness	0.90117357
Sum	17872
Variance	0.66413908
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	4593	58.9%
3	1652	21.2%
1	866	11.1%
4	582	7.5%
5	100	1.3%
6	6	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	866	11.1%
2	4593	58.9%
3	1652	21.2%
4	582	7.5%
5	100	1.3%
6	6	0.1%

Value	Count	Frequency (%)
6	6	0.1%
5	100	1.3%
4	582	7.5%
3	1652	21.2%
2	4593	58.9%
1	866	11.1%

Interior Size SqFt
Real number (ℝ)

HIGH CORRELATION

Distinct	2846
Distinct (%)	36.5%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	2039.9879

Minimum	263
Maximum	6973
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	61.1 KiB

Quantile statistics

Minimum	263
5-th percentile	578
Q1	1340
median	1987.5
Q3	2673.25
95-th percentile	3698.15
Maximum	6973
Range	6710
Interquartile range (IQR)	1333.25

Descriptive statistics

Standard deviation	976.48833
Coefficient of variation (CV)	0.47867358
Kurtosis	0.43625043
Mean	2039.9879
Median Absolute Deviation (MAD)	668.5
Skewness	0.53792211
Sum	15907826
Variance	953529.46
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1500	24	0.3%
2000	24	0.3%
1740	22	0.3%
1800	20	0.3%
2250	16	0.2%
2788	16	0.2%
1600	16	0.2%
2240	16	0.2%
1285	16	0.2%
1700	15	0.2%
Other values (2836)	7613	97.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
263	1	< 0.1%
275	2	< 0.1%
300	1	< 0.1%
306	2	< 0.1%
307	1	< 0.1%
314	1	< 0.1%
321	1	< 0.1%
325	1	< 0.1%
329	1	< 0.1%
332	1	< 0.1%

Value	Count	Frequency (%)
6973	1	< 0.1%
6217	1	< 0.1%
6160	1	< 0.1%
6135	1	< 0.1%
6059	1	< 0.1%
6055	1	< 0.1%
6033	1	< 0.1%
6032	1	< 0.1%
6010	1	< 0.1%
6005	2	< 0.1%

Lot Size Ft
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	50
Distinct (%)	1.3%
Missing	4043
Missing (%)	51.8%
Infinite	0
Infinite (%)	0.0%
Mean	41.818211

Minimum	14
Maximum	150
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	61.1 KiB

Quantile statistics

Minimum	14
5-th percentile	26
Q1	36
median	40
Q3	45
95-th percentile	60
Maximum	150
Range	136
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	12.104507
Coefficient of variation (CV)	0.28945539
Kurtosis	26.397268
Mean	41.818211
Median Absolute Deviation (MAD)	5
Skewness	3.3322001
Sum	157069.2
Variance	146.51908
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	540	6.9%
45	431	5.5%
36	396	5.1%
40	392	5.0%
38	284	3.6%
30	169	2.2%
35	154	2.0%
42	140	1.8%
44	116	1.5%
32	106	1.4%
Other values (40)	1028	13.2%
(Missing)	4043	51.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14	3	< 0.1%
18	12	0.2%
19	3	< 0.1%
20	71	0.9%
21	14	0.2%
22	20	0.3%
23	8	0.1%
24	2	< 0.1%
24.6	7	0.1%
25	43	0.6%

Value	Count	Frequency (%)
150	16	0.2%
100	4	0.1%
80	2	< 0.1%
70	87	1.1%
66	1	< 0.1%
65	22	0.3%
64	5	0.1%
62	21	0.3%
61	4	0.1%
60	74	0.9%

Price $
Real number (ℝ)

HIGH CORRELATION

Distinct	3298
Distinct (%)	42.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1234431.5

Minimum	319900
Maximum	9819990
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	61.1 KiB

Quantile statistics

Minimum	319900
5-th percentile	547810
Q1	794900
median	1044900
Q3	1454945
95-th percentile	2480481
Maximum	9819990
Range	9500090
Interquartile range (IQR)	660045

Descriptive statistics

Standard deviation	685658.47
Coefficient of variation (CV)	0.55544474
Kurtosis	11.892586
Mean	1234431.5
Median Absolute Deviation (MAD)	300090
Skewness	2.4923694
Sum	9.6273312 × 10⁹
Variance	4.7012754 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
799900	43	0.6%
899900	37	0.5%
849900	28	0.4%
769900	27	0.3%
729900	27	0.3%
699900	26	0.3%
739900	24	0.3%
599900	24	0.3%
749900	22	0.3%
719900	22	0.3%
Other values (3288)	7519	96.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
319900	1	< 0.1%
325500	1	< 0.1%
328900	1	< 0.1%
339000	2	< 0.1%
349000	2	< 0.1%
358794	1	< 0.1%
359900	1	< 0.1%
364900	1	< 0.1%
369000	1	< 0.1%
369900	2	< 0.1%

Value	Count	Frequency (%)
9819990	1	< 0.1%
8900000	1	< 0.1%
6509800	1	< 0.1%
6449900	1	< 0.1%
6399900	1	< 0.1%
6349900	1	< 0.1%
6249900	1	< 0.1%
6140000	1	< 0.1%
5880000	1	< 0.1%
5760000	1	< 0.1%

Balcony Size SqFt
Real number (ℝ)

MISSING

Distinct	326
Distinct (%)	28.3%
Missing	6648
Missing (%)	85.2%
Infinite	0
Infinite (%)	0.0%
Mean	146.49696

Minimum	0
Maximum	2024
Zeros	23
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	61.1 KiB

Quantile statistics

Minimum	0
5-th percentile	33
Q1	50
median	94
Q3	175
95-th percentile	407.5
Maximum	2024
Range	2024
Interquartile range (IQR)	125

Descriptive statistics

Standard deviation	177.42108
Coefficient of variation (CV)	1.2110905
Kurtosis	27.346596
Mean	146.49696
Median Absolute Deviation (MAD)	50
Skewness	4.2799321
Sum	168618
Variance	31478.238
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	30	0.4%
47	24	0.3%
0	23	0.3%
46	23	0.3%
40	21	0.3%
100	20	0.3%
50	18	0.2%
156	16	0.2%
65	16	0.2%
43	15	0.2%
Other values (316)	945	12.1%
(Missing)	6648	85.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	23	0.3%
7	2	< 0.1%
9	1	< 0.1%
14	5	0.1%
17	2	< 0.1%
23	1	< 0.1%
25	2	< 0.1%
26	1	< 0.1%
27	5	0.1%
29	2	< 0.1%

Value	Count	Frequency (%)
2024	1	< 0.1%
1683	1	< 0.1%
1654	1	< 0.1%
1290	1	< 0.1%
1242	1	< 0.1%
1196	1	< 0.1%
1087	1	< 0.1%
1006	1	< 0.1%
1000	1	< 0.1%
999	1	< 0.1%

Garage
Categorical

HIGH CORRELATION MISSING

Distinct	2
Distinct (%)	1.8%
Missing	7687
Missing (%)	98.6%
Memory size	307.0 KiB

1.0	62
2.0	50

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	336
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	62	0.8%
2.0	50	0.6%
(Missing)	7687	98.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	62	55.4%
2.0	50	44.6%

Most occurring characters

Value	Count	Frequency (%)
.	112	33.3%
0	112	33.3%
1	62	18.5%
2	50	14.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	336	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	112	33.3%
0	112	33.3%
1	62	18.5%
2	50	14.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	336	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	112	33.3%
0	112	33.3%
1	62	18.5%
2	50	14.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	336	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	112	33.3%
0	112	33.3%
1	62	18.5%
2	50	14.9%

Floor #
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	24
Distinct (%)	9.7%
Missing	7551
Missing (%)	96.8%
Infinite	0
Infinite (%)	0.0%
Mean	6.0806452

Minimum	1
Maximum	75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	61.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	20.3
Maximum	75
Range	74
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	8.71603
Coefficient of variation (CV)	1.4334055
Kurtosis	32.958377
Mean	6.0806452
Median Absolute Deviation (MAD)	2
Skewness	5.0845955
Sum	1508
Variance	75.969179
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
2	62	0.8%
4	40	0.5%
3	36	0.5%
5	26	0.3%
6	18	0.2%
1	14	0.2%
8	10	0.1%
7	7	0.1%
9	6	0.1%
10	5	0.1%
Other values (14)	24	0.3%
(Missing)	7551	96.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	14	0.2%
2	62	0.8%
3	36	0.5%
4	40	0.5%
5	26	0.3%
6	18	0.2%
7	7	0.1%
8	10	0.1%
9	6	0.1%
10	5	0.1%

Value	Count	Frequency (%)
75	2	< 0.1%
43	1	< 0.1%
36	1	< 0.1%
34	2	< 0.1%
31	1	< 0.1%
27	1	< 0.1%
24	1	< 0.1%
23	2	< 0.1%
21	2	< 0.1%
19	1	< 0.1%

Exposure
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	4.3%
Missing	7612
Missing (%)	97.6%
Memory size	308.1 KiB

N	51
S	48
SW	25
E	20
SE	14
Other values (3)	29

Length

Max length	2
Median length	1
Mean length	1.3262032
Min length	1

Characters and Unicode

Total characters	248
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S
2nd row	S
3rd row	S
4th row	S
5th row	S

Common Values

Value	Count	Frequency (%)
N	51	0.7%
S	48	0.6%
SW	25	0.3%
E	20	0.3%
SE	14	0.2%
NW	13	0.2%
NE	9	0.1%
W	7	0.1%
(Missing)	7612	97.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
n	51	27.3%
s	48	25.7%
sw	25	13.4%
e	20	10.7%
se	14	7.5%
nw	13	7.0%
ne	9	4.8%
w	7	3.7%

Most occurring characters

Value	Count	Frequency (%)
S	87	35.1%
N	73	29.4%
W	45	18.1%
E	43	17.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	248	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	87	35.1%
N	73	29.4%
W	45	18.1%
E	43	17.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	248	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	87	35.1%
N	73	29.4%
W	45	18.1%
E	43	17.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	248	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	87	35.1%
N	73	29.4%
W	45	18.1%
E	43	17.3%

City
Text

Distinct	87
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	645.6 KiB

Length

Max length	52
Median length	51
Mean length	27.747916
Min length	3

Characters and Unicode

Total characters	216406
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	0.1%

Sample

1st row	Adjala-Tosorontio
2nd row	Adjala-Tosorontio
3rd row	Adjala-Tosorontio
4th row	Adjala-Tosorontio
5th row	Adjala-Tosorontio

Value	Count	Frequency (%)
metropolitan	6637	25.8%
area	6637	25.8%
toronto	2781	10.8%
	1677	6.5%
ottawa	903	3.5%
gatineau	903	3.5%
barrie	395	1.5%
st	293	1.1%
catharines	293	1.1%
niagara	293	1.1%
Other values (106)	4934	19.2%

Most occurring characters

Value	Count	Frequency (%)
a	29045	13.4%
o	25061	11.6%
t	21629	10.0%
r	20159	9.3%
e	18226	8.4%
	17947	8.3%
n	13221	6.1%
i	10329	4.8%
l	8600	4.0%
p	6855	3.2%
Other values (40)	45334	20.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	216406	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	29045	13.4%
o	25061	11.6%
t	21629	10.0%
r	20159	9.3%
e	18226	8.4%
	17947	8.3%
n	13221	6.1%
i	10329	4.8%
l	8600	4.0%
p	6855	3.2%
Other values (40)	45334	20.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	216406	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	29045	13.4%
o	25061	11.6%
t	21629	10.0%
r	20159	9.3%
e	18226	8.4%
	17947	8.3%
n	13221	6.1%
i	10329	4.8%
l	8600	4.0%
p	6855	3.2%
Other values (40)	45334	20.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	216406	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	29045	13.4%
o	25061	11.6%
t	21629	10.0%
r	20159	9.3%
e	18226	8.4%
	17947	8.3%
n	13221	6.1%
i	10329	4.8%
l	8600	4.0%
p	6855	3.2%
Other values (40)	45334	20.9%

Sub Area
Text

Distinct	171
Distinct (%)	2.2%
Missing	1
Missing (%)	< 0.1%
Memory size	509.4 KiB

Length

Max length	31
Median length	29
Mean length	9.7391639
Min length	4

Characters and Unicode

Total characters	75946
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.1%

Sample

1st row	Colgan
2nd row	Colgan
3rd row	Colgan
4th row	Colgan
5th row	Colgan

Value	Count	Frequency (%)
toronto	1094	10.0%
ottawa	752	6.9%
caledon	269	2.5%
barrie	216	2.0%
markham	202	1.8%
rural	187	1.7%
st	151	1.4%
lakes	150	1.4%
kawartha	150	1.4%
guelph	145	1.3%
Other values (218)	7641	69.7%

Most occurring characters

Value	Count	Frequency (%)
a	7698	10.1%
o	7487	9.9%
t	6126	8.1%
r	5843	7.7%
e	5245	6.9%
n	5189	6.8%
l	3873	5.1%
i	3675	4.8%
	3159	4.2%
s	2621	3.5%
Other values (45)	25030	33.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	75946	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	7698	10.1%
o	7487	9.9%
t	6126	8.1%
r	5843	7.7%
e	5245	6.9%
n	5189	6.8%
l	3873	5.1%
i	3675	4.8%
	3159	4.2%
s	2621	3.5%
Other values (45)	25030	33.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	75946	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	7698	10.1%
o	7487	9.9%
t	6126	8.1%
r	5843	7.7%
e	5245	6.9%
n	5189	6.8%
l	3873	5.1%
i	3675	4.8%
	3159	4.2%
s	2621	3.5%
Other values (45)	25030	33.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	75946	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	7698	10.1%
o	7487	9.9%
t	6126	8.1%
r	5843	7.7%
e	5245	6.9%
n	5189	6.8%
l	3873	5.1%
i	3675	4.8%
	3159	4.2%
s	2621	3.5%
Other values (45)	25030	33.0%

Community Name
Text

MISSING

Distinct	393
Distinct (%)	5.3%
Missing	367
Missing (%)	4.7%
Memory size	526.6 KiB

Length

Max length	44
Median length	29
Mean length	13.59338
Min length	4

Characters and Unicode

Total characters	101026
Distinct characters	70
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	0.5%

Sample

1st row	Colgan Crossing
2nd row	Colgan Crossing
3rd row	Colgan Crossing
4th row	Colgan Crossing
5th row	Colgan Crossing

Value	Count	Frequency (%)
rural	721	4.8%
south	437	2.9%
caledon	302	2.0%
park	287	1.9%
the	261	1.7%
	238	1.6%
east	231	1.5%
hill	226	1.5%
west	207	1.4%
estates	201	1.3%
Other values (473)	11836	79.2%

Most occurring characters

Value	Count	Frequency (%)
e	9227	9.1%
a	7578	7.5%
	7515	7.4%
t	6533	6.5%
r	6279	6.2%
l	6165	6.1%
o	5873	5.8%
n	5819	5.8%
i	5712	5.7%
s	5458	5.4%
Other values (60)	34867	34.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	101026	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	9227	9.1%
a	7578	7.5%
	7515	7.4%
t	6533	6.5%
r	6279	6.2%
l	6165	6.1%
o	5873	5.8%
n	5819	5.8%
i	5712	5.7%
s	5458	5.4%
Other values (60)	34867	34.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	101026	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	9227	9.1%
a	7578	7.5%
	7515	7.4%
t	6533	6.5%
r	6279	6.2%
l	6165	6.1%
o	5873	5.8%
n	5819	5.8%
i	5712	5.7%
s	5458	5.4%
Other values (60)	34867	34.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	101026	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	9227	9.1%
a	7578	7.5%
	7515	7.4%
t	6533	6.5%
r	6279	6.2%
l	6165	6.1%
o	5873	5.8%
n	5819	5.8%
i	5712	5.7%
s	5458	5.4%
Other values (60)	34867	34.5%

Building Type
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	593.7 KiB

Townhouse and Single Family Home	3137
Single Family Home	2382
Condo	1463
Townhouse	409
Condo and Townhouse	335
Other values (2)	73

Length

Max length	39
Median length	32
Mean length	20.931914
Min length	5

Characters and Unicode

Total characters	163248
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Townhouse and Single Family Home
2nd row	Townhouse and Single Family Home
3rd row	Townhouse and Single Family Home
4th row	Townhouse and Single Family Home
5th row	Townhouse and Single Family Home

Common Values

Value	Count	Frequency (%)
Townhouse and Single Family Home	3137	40.2%
Single Family Home	2382	30.5%
Condo	1463	18.8%
Townhouse	409	5.2%
Condo and Townhouse	335	4.3%
Condo, Townhouse and Single Family Home	53	0.7%
Condo and Single Family Home	20	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
single	5592	21.4%
family	5592	21.4%
home	5592	21.4%
townhouse	3934	15.1%
and	3545	13.6%
condo	1871	7.2%

Most occurring characters

Value	Count	Frequency (%)
	18327	11.2%
o	17202	10.5%
e	15118	9.3%
n	14942	9.2%
l	11184	6.9%
m	11184	6.9%
i	11184	6.9%
a	9137	5.6%
H	5592	3.4%
y	5592	3.4%
Other values (11)	43786	26.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	163248	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	18327	11.2%
o	17202	10.5%
e	15118	9.3%
n	14942	9.2%
l	11184	6.9%
m	11184	6.9%
i	11184	6.9%
a	9137	5.6%
H	5592	3.4%
y	5592	3.4%
Other values (11)	43786	26.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	163248	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	18327	11.2%
o	17202	10.5%
e	15118	9.3%
n	14942	9.2%
l	11184	6.9%
m	11184	6.9%
i	11184	6.9%
a	9137	5.6%
H	5592	3.4%
y	5592	3.4%
Other values (11)	43786	26.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	163248	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	18327	11.2%
o	17202	10.5%
e	15118	9.3%
n	14942	9.2%
l	11184	6.9%
m	11184	6.9%
i	11184	6.9%
a	9137	5.6%
H	5592	3.4%
y	5592	3.4%
Other values (11)	43786	26.8%

Selling Status
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	490.6 KiB

Selling	7142
Registration	627
Pending	30

Length

Max length	12
Median length	7
Mean length	7.4019746
Min length	7

Characters and Unicode

Total characters	57728
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Selling
2nd row	Selling
3rd row	Selling
4th row	Selling
5th row	Selling

Common Values

Value	Count	Frequency (%)
Selling	7142	91.6%
Registration	627	8.0%
Pending	30	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
selling	7142	91.6%
registration	627	8.0%
pending	30	0.4%

Most occurring characters

Value	Count	Frequency (%)
l	14284	24.7%
i	8426	14.6%
n	7829	13.6%
e	7799	13.5%
g	7799	13.5%
S	7142	12.4%
t	1254	2.2%
R	627	1.1%
s	627	1.1%
r	627	1.1%
Other values (4)	1314	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	57728	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	14284	24.7%
i	8426	14.6%
n	7829	13.6%
e	7799	13.5%
g	7799	13.5%
S	7142	12.4%
t	1254	2.2%
R	627	1.1%
s	627	1.1%
r	627	1.1%
Other values (4)	1314	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	57728	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	14284	24.7%
i	8426	14.6%
n	7829	13.6%
e	7799	13.5%
g	7799	13.5%
S	7142	12.4%
t	1254	2.2%
R	627	1.1%
s	627	1.1%
r	627	1.1%
Other values (4)	1314	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	57728	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	14284	24.7%
i	8426	14.6%
n	7829	13.6%
e	7799	13.5%
g	7799	13.5%
S	7142	12.4%
t	1254	2.2%
R	627	1.1%
s	627	1.1%
r	627	1.1%
Other values (4)	1314	2.3%

Construction Status
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	526.8 KiB

Construction	6387
Preconstruction	977
Complete	435

Length

Max length	15
Median length	12
Mean length	12.152712
Min length	8

Characters and Unicode

Total characters	94779
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Construction
2nd row	Construction
3rd row	Construction
4th row	Construction
5th row	Construction

Common Values

Value	Count	Frequency (%)
Construction	6387	81.9%
Preconstruction	977	12.5%
Complete	435	5.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
construction	6387	81.9%
preconstruction	977	12.5%
complete	435	5.6%

Most occurring characters

Value	Count	Frequency (%)
o	15163	16.0%
t	15163	16.0%
n	14728	15.5%
r	8341	8.8%
c	8341	8.8%
s	7364	7.8%
u	7364	7.8%
i	7364	7.8%
C	6822	7.2%
e	1847	1.9%
Other values (4)	2282	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	94779	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	15163	16.0%
t	15163	16.0%
n	14728	15.5%
r	8341	8.8%
c	8341	8.8%
s	7364	7.8%
u	7364	7.8%
i	7364	7.8%
C	6822	7.2%
e	1847	1.9%
Other values (4)	2282	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	94779	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	15163	16.0%
t	15163	16.0%
n	14728	15.5%
r	8341	8.8%
c	8341	8.8%
s	7364	7.8%
u	7364	7.8%
i	7364	7.8%
C	6822	7.2%
e	1847	1.9%
Other values (4)	2282	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	94779	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	15163	16.0%
t	15163	16.0%
n	14728	15.5%
r	8341	8.8%
c	8341	8.8%
s	7364	7.8%
u	7364	7.8%
i	7364	7.8%
C	6822	7.2%
e	1847	1.9%
Other values (4)	2282	2.4%

Builder(s)
Text

Distinct	367
Distinct (%)	4.7%
Missing	16
Missing (%)	0.2%
Memory size	584.4 KiB

Length

Max length	64
Median length	51
Mean length	19.802904
Min length	5

Characters and Unicode

Total characters	154126
Distinct characters	61
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	0.4%

Sample

1st row	Tribute Communities and Greybrook Realty Partners
2nd row	Tribute Communities and Greybrook Realty Partners
3rd row	Tribute Communities and Greybrook Realty Partners
4th row	Tribute Communities and Greybrook Realty Partners
5th row	Tribute Communities and Greybrook Realty Partners

Value	Count	Frequency (%)
homes	4402	21.4%
communities	853	4.1%
developments	827	4.0%
group	621	3.0%
and	543	2.6%
development	394	1.9%
fernbrook	271	1.3%
ridge	231	1.1%
aspen	230	1.1%
corporation	224	1.1%
Other values (473)	11966	58.2%

Most occurring characters

Value	Count	Frequency (%)
e	17962	11.7%
	15785	10.2%
o	14079	9.1%
m	8957	5.8%
s	8864	5.8%
n	8694	5.6%
r	8457	5.5%
a	8095	5.3%
i	8046	5.2%
t	7176	4.7%
Other values (51)	48011	31.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	154126	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	17962	11.7%
	15785	10.2%
o	14079	9.1%
m	8957	5.8%
s	8864	5.8%
n	8694	5.6%
r	8457	5.5%
a	8095	5.3%
i	8046	5.2%
t	7176	4.7%
Other values (51)	48011	31.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	154126	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	17962	11.7%
	15785	10.2%
o	14079	9.1%
m	8957	5.8%
s	8864	5.8%
n	8694	5.6%
r	8457	5.5%
a	8095	5.3%
i	8046	5.2%
t	7176	4.7%
Other values (51)	48011	31.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	154126	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	17962	11.7%
	15785	10.2%
o	14079	9.1%
m	8957	5.8%
s	8864	5.8%
n	8694	5.6%
r	8457	5.5%
a	8095	5.3%
i	8046	5.2%
t	7176	4.7%
Other values (51)	48011	31.2%

Ceiling avg
Real number (ℝ)

MISSING

Distinct	12
Distinct (%)	0.2%
Missing	2187
Missing (%)	28.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.9893086

Minimum	8
Maximum	14.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	61.1 KiB

Quantile statistics

Minimum	8
5-th percentile	8.5
Q1	8.5
median	9
Q3	9
95-th percentile	10
Maximum	14.5
Range	6.5
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.70183944
Coefficient of variation (CV)	0.078074908
Kurtosis	18.12397
Mean	8.9893086
Median Absolute Deviation (MAD)	0.5
Skewness	3.4339008
Sum	50448
Variance	0.4925786
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
9	2351	30.1%
8.5	1937	24.8%
9.5	763	9.8%
10	224	2.9%
8	175	2.2%
10.5	62	0.8%
13.5	38	0.5%
13	27	0.3%
12	23	0.3%
11	8	0.1%
Other values (2)	4	0.1%
(Missing)	2187	28.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8	175	2.2%
8.5	1937	24.8%
9	2351	30.1%
9.5	763	9.8%
10	224	2.9%
10.5	62	0.8%
11	8	0.1%
12	23	0.3%
13	27	0.3%
13.5	38	0.5%

Value	Count	Frequency (%)
14.5	2	< 0.1%
14	2	< 0.1%
13.5	38	0.5%
13	27	0.3%
12	23	0.3%
11	8	0.1%
10.5	62	0.8%
10	224	2.9%
9.5	763	9.8%
9	2351	30.1%

Auto

Heatmap
Table

	Balcony Size SqFt	Baths	Bed Rooms	Building Type	Ceiling avg	Construction Status	Exposure	Floor #	Garage	Interior Size SqFt	Lot Size Ft	Price $	Selling Status	Type
Balcony Size SqFt	1.000	0.348	0.409	0.000	0.153	0.103	0.194	0.179	0.000	0.475	NaN	0.412	0.128	0.228
Baths	0.348	1.000	0.728	0.228	0.024	0.201	0.334	-0.058	0.174	0.766	0.328	0.613	0.036	0.274
Bed Rooms	0.409	0.728	1.000	0.283	-0.045	0.246	0.264	0.089	0.406	0.853	0.155	0.529	0.061	0.334
Building Type	0.000	0.228	0.283	1.000	-0.130	0.315	0.443	0.072	1.000	0.498	-0.250	0.066	0.199	0.484
Ceiling avg	0.153	0.024	-0.045	-0.130	1.000	0.216	0.389	-0.097	0.000	-0.001	-0.064	0.139	0.142	0.223
Construction Status	0.103	0.201	0.246	0.315	0.216	1.000	0.189	-0.068	0.000	-0.213	-0.046	-0.033	0.170	0.321
Exposure	0.194	0.334	0.264	0.443	0.389	0.189	1.000	0.101	0.000	0.207	NaN	0.106	1.000	0.218
Floor #	0.179	-0.058	0.089	0.072	-0.097	-0.068	0.101	1.000	0.000	-0.099	NaN	0.123	1.000	0.215
Garage	0.000	0.174	0.406	1.000	0.000	0.000	0.000	0.000	1.000	0.667	0.834	0.425	0.000	0.549
Interior Size SqFt	0.475	0.766	0.853	0.498	-0.001	-0.213	0.207	-0.099	0.667	1.000	0.444	0.618	0.063	0.360
Lot Size Ft	NaN	0.328	0.155	-0.250	-0.064	-0.046	NaN	NaN	0.834	0.444	1.000	0.328	0.113	0.454
Price $	0.412	0.613	0.529	0.066	0.139	-0.033	0.106	0.123	0.425	0.618	0.328	1.000	0.039	0.153
Selling Status	0.128	0.036	0.061	0.199	0.142	0.170	1.000	1.000	0.000	0.063	0.113	0.039	1.000	0.122
Type	0.228	0.274	0.334	0.484	0.223	0.321	0.218	0.215	0.549	0.360	0.454	0.153	0.122	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Type	Bed Rooms	Baths	Interior Size SqFt	Lot Size Ft	Price $	Balcony Size SqFt	Garage	Floor #	Exposure	City	Sub Area	Community Name	Building Type	Selling Status	Construction Status	Builder(s)	Ceiling avg
0	Two Story	3.0	3	1844.0	NaN	1149990	NaN	NaN	NaN	NaN	Adjala-Tosorontio	Colgan	Colgan Crossing	Townhouse and Single Family Home	Selling	Construction	Tribute Communities and Greybrook Realty Partners	8.5
1	Two Story	3.0	3	1844.0	NaN	1159990	NaN	NaN	NaN	NaN	Adjala-Tosorontio	Colgan	Colgan Crossing	Townhouse and Single Family Home	Selling	Construction	Tribute Communities and Greybrook Realty Partners	8.5
2	Two Story	3.0	3	1847.0	NaN	1159990	NaN	NaN	NaN	NaN	Adjala-Tosorontio	Colgan	Colgan Crossing	Townhouse and Single Family Home	Selling	Construction	Tribute Communities and Greybrook Realty Partners	8.5
3	Two Story	3.0	3	1847.0	NaN	1149990	NaN	NaN	NaN	NaN	Adjala-Tosorontio	Colgan	Colgan Crossing	Townhouse and Single Family Home	Selling	Construction	Tribute Communities and Greybrook Realty Partners	8.5
4	Two Story	3.0	3	1847.0	NaN	1159990	NaN	NaN	NaN	NaN	Adjala-Tosorontio	Colgan	Colgan Crossing	Townhouse and Single Family Home	Selling	Construction	Tribute Communities and Greybrook Realty Partners	8.5
5	Two Story	3.0	3	1847.0	NaN	1149990	NaN	NaN	NaN	NaN	Adjala-Tosorontio	Colgan	Colgan Crossing	Townhouse and Single Family Home	Selling	Construction	Tribute Communities and Greybrook Realty Partners	8.5
6	Two Story	3.0	3	2051.0	NaN	1219990	NaN	NaN	NaN	NaN	Adjala-Tosorontio	Colgan	Colgan Crossing	Townhouse and Single Family Home	Selling	Construction	Tribute Communities and Greybrook Realty Partners	8.5
7	Two Story	3.0	3	2053.0	NaN	1209990	NaN	NaN	NaN	NaN	Adjala-Tosorontio	Colgan	Colgan Crossing	Townhouse and Single Family Home	Selling	Construction	Tribute Communities and Greybrook Realty Partners	8.5
8	Two Story	3.0	3	2174.0	NaN	1239990	NaN	NaN	NaN	NaN	Adjala-Tosorontio	Colgan	Colgan Crossing	Townhouse and Single Family Home	Selling	Construction	Tribute Communities and Greybrook Realty Partners	8.5
9	Two Story	3.0	3	2178.0	NaN	1229990	NaN	NaN	NaN	NaN	Adjala-Tosorontio	Colgan	Colgan Crossing	Townhouse and Single Family Home	Selling	Construction	Tribute Communities and Greybrook Realty Partners	8.5

	Type	Bed Rooms	Baths	Interior Size SqFt	Lot Size Ft	Price $	Balcony Size SqFt	Garage	Floor #	Exposure	City	Sub Area	Community Name	Building Type	Selling Status	Construction Status	Builder(s)	Ceiling avg
7789	Detached Two Story	4.0	2	2279.0	NaN	984000	NaN	NaN	NaN	NaN	The Village Farm	The Village Farm, Embro	NaN	Single Family Home	Selling	Construction	Langlois Eco Homesand Sinclair Homes	9.0
7790	Detached Two Story	4.0	2	2519.0	NaN	999000	NaN	NaN	NaN	NaN	The Village Farm	The Village Farm, Embro	NaN	Single Family Home	Selling	Construction	Langlois Eco Homesand Sinclair Homes	9.0
7791	Detached Two Story	4.0	2	2519.0	NaN	1026000	NaN	NaN	NaN	NaN	The Village Farm	The Village Farm, Embro	NaN	Single Family Home	Selling	Construction	Langlois Eco Homesand Sinclair Homes	9.0
7792	Detached Two Story	3.0	2	1868.0	42.0	799900	NaN	NaN	NaN	NaN	Zorra	Thames Springs West	Thames Springs West	Single Family Home	Selling	Construction	McKenzie Homes	8.5
7793	Detached Two Story	3.0	2	2017.0	42.0	849900	NaN	NaN	NaN	NaN	Zorra	Thames Springs West	Thames Springs West	Single Family Home	Selling	Construction	McKenzie Homes	8.5
7794	Detached Two Story	3.0	3	2107.0	42.0	899900	NaN	NaN	NaN	NaN	Zorra	Thames Springs West	Thames Springs West	Single Family Home	Selling	Construction	McKenzie Homes	8.5
7795	Detached Two Story	4.0	2	2107.0	42.0	854900	NaN	NaN	NaN	NaN	Zorra	Thames Springs West	Thames Springs West	Single Family Home	Selling	Construction	McKenzie Homes	8.5
7796	Detached Two Story	4.0	2	2495.0	42.0	950000	NaN	NaN	NaN	NaN	Zorra	Thames Springs West	Thames Springs West	Single Family Home	Selling	Construction	McKenzie Homes	8.5
7797	Detached Two Story	4.0	3	2643.0	42.0	1052980	NaN	NaN	NaN	NaN	Zorra	Thames Springs West	Thames Springs West	Single Family Home	Selling	Construction	McKenzie Homes	8.5
7798	Detached Two Story	5.0	3	2543.0	42.0	1018200	NaN	NaN	NaN	NaN	Zorra	Thames Springs West	Thames Springs West	Single Family Home	Selling	Construction	McKenzie Homes	8.5

Most frequently occurring

	Type	Bed Rooms	Baths	Interior Size SqFt	Lot Size Ft	Price $	Balcony Size SqFt	Garage	Floor #	Exposure	City	Sub Area	Community Name	Building Type	Selling Status	Construction Status	Builder(s)	Ceiling avg	# duplicates
132	Suite	2.0	2	1285.0	NaN	579990	NaN	NaN	2.0	NaN	Hamilton (Metropolitan area)	Hamilton	Binbrook	Condo	Selling	Complete	Homes John Bruce Robinson	NaN	7
180	Two Story	3.0	3	1740.0	NaN	699900	NaN	NaN	NaN	NaN	Hastings	Hastings	Lock Eighteen	Townhouse	Selling	Construction	Brenbrooke Homes	9.0	6
24	Detached Bungalow	3.0	2	1700.0	50.0	1121900	NaN	NaN	NaN	NaN	Ottawa - Gatineau (Metropolitan area)	Ottawa	Avalon	Townhouse and Single Family Home	Selling	Construction	eQ Homes	9.0	5
203	Two Story	4.0	3	2180.0	NaN	1269900	NaN	NaN	NaN	NaN	Collingwood (Metropolitan area)	Collingwood	645 Sixth Street Townhomes	Townhouse	Selling	Preconstruction	Dream Maker Developments Inc. and Inception Builds	NaN	5
13	Detached Bungalow	2.0	2	1342.0	42.0	938900	NaN	NaN	NaN	NaN	Ottawa - Gatineau (Metropolitan area)	Ottawa	Avalon	Townhouse and Single Family Home	Selling	Construction	eQ Homes	9.0	4
14	Detached Bungalow	2.0	2	1433.0	42.0	963900	NaN	NaN	NaN	NaN	Ottawa - Gatineau (Metropolitan area)	Ottawa	Avalon	Townhouse and Single Family Home	Selling	Construction	eQ Homes	9.0	4
15	Detached Bungalow	2.0	2	1462.0	35.0	859900	NaN	NaN	NaN	NaN	Ottawa - Gatineau (Metropolitan area)	Ottawa	Avalon	Townhouse and Single Family Home	Selling	Construction	eQ Homes	9.0	4
16	Detached Bungalow	2.0	2	1500.0	42.0	1042900	NaN	NaN	NaN	NaN	Ottawa - Gatineau (Metropolitan area)	Ottawa	Avalon	Townhouse and Single Family Home	Selling	Construction	eQ Homes	9.0	4
18	Detached Bungalow	2.0	2	1640.0	42.0	1044900	NaN	NaN	NaN	NaN	Ottawa - Gatineau (Metropolitan area)	Ottawa	Avalon	Townhouse and Single Family Home	Selling	Construction	eQ Homes	9.0	4
25	Detached Bungalow	3.0	2	2079.0	50.0	1179900	NaN	NaN	NaN	NaN	Ottawa - Gatineau (Metropolitan area)	Ottawa	Avalon	Townhouse and Single Family Home	Selling	Construction	eQ Homes	9.0	4

Overview

Variables

Common Values

Length

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(unknown)

Most occurring scripts

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Common Values

Length

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(unknown)

Most occurring scripts

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Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script